Abstract
As machine learning has become increasingly popular over the last few decades, so too has the number of machine-learning interfaces for implementing these models. Whilst many R libraries exist for machine learning, very few offer extended support for survival analysis. This is problematic considering its importance in fields like medicine, bioinformatics, economics, engineering and more. mlr3proba provides a comprehensive machine-learning interface for survival analysis and connects with mlr3's general model tuning and benchmarking facilities to provide a systematic infrastructure for survival modelling and evaluation.
Item Type: | Journal article |
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Faculties: | Mathematics, Computer Science and Statistics > Statistics |
Subjects: | 500 Science > 510 Mathematics |
ISSN: | 1367-4803 |
Language: | English |
Item ID: | 102214 |
Date Deposited: | 05. Jun 2023, 15:39 |
Last Modified: | 05. Jun 2023, 15:39 |